作者: Suzanne Tamang , Danny Kopec , Tony McCofie , Karen Levy
DOI:
关键词: Health care 、 Data science 、 HRHIS 、 Medicine 、 Health informatics 、 Health indicator 、 Health policy 、 Health systems engineering 、 Management science 、 eMix 、 Clinical decision support system
摘要: The research literature on public health information and communication networks shows enormous promise tremendous obstacles. There is a great deal of evidence to suggest that when electronic systems are widely employed, clinical easily shared, trained individuals can track monitor status, avert acute events potentially affect an individual or population. However, the also leaves unresolved important questions about effectiveness versus efficacy: is, whether sharing achieve compliance large scale, particularly across social, political, economic geographic boundaries. For this reason, we propose adaptive healthcare collect, process disseminate reduce medical errors. This assesses existing monitoring initiatives in United States worldwide, discusses their progress limitations. It identifies how could be improved by application innovative theories technologies, such as complex theory, expert grid technology.